Can Cui
Impact in
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- Magnetic properties of thin films
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- Advanced Memory and Neural Computing
- Ferroelectric and Negative Capacitance Devices
- Semiconductor materials and devices
Papers in
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- Advanced Memory and Neural Computing 12
- Ferroelectric and Negative Capacitance Devices 8
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- Neural Networks and Reservoir Computing 8
- Co-authors
- Jean Anne C. Incorvia (13 shared papers)Christopher H. Bennett (9 shared papers)Matthew Marinella (9 shared papers)Joseph S. Friedman (9 shared papers)T. Patrick Xiao (6 shared papers)Samuel Liu (5 shared papers)Felipe García‐Sánchez (3 shared papers)Thomas M. Leonard (3 shared papers)
- Journals
- Applied Physics Letters (3 papers)IEEE Transactions on Professional Communication (1 paper)Nano Letters (1 paper)Frontiers in Nutrition (1 paper)Advanced Electronic Materials (1 paper)
- Partner nations
- United StatesChinaSpain
In The Last Decade
Can Cui
26 papers receiving 325 citations
Peers
Comparison fields: 5 of 67
- Atomic and Molecular Physics, and Optics 122
- Electrical and Electronic Engineering 196
- Artificial Intelligence 86
- Condensed Matter Physics 22
- Electronic, Optical and Magnetic Materials 28
Countries citing papers authored by Can Cui
This map shows the geographic impact of Can Cui's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Can Cui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Can Cui more than expected).
Fields of papers citing papers by Can Cui
This network shows the impact of papers produced by Can Cui. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Can Cui. The network helps show where Can Cui may publish in the future.
Co-authors
The 25 scholars most cited alongside Can Cui, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 49 | |
| 2 | 2022 | 45 | |
| 3 | 2021 | 41 | |
| 4 | 2021 | 30 | |
| 5 | 2020 | 22 | |
| 6 | 2021 | 17 | |
| 7 | 2023 | 16 | |
| 8 | 2020 | 16 | |
| 9 | 2020 | 14 | |
| 10 | 2023 | 14 | |
| 11 | 2022 | 12 | |
| 12 | 2015 | 10 | |
| 13 | 2022 | 9 | |
| 14 | 2019 | 8 | |
| 15 | 2022 | 7 | |
| 16 | Early Marketplace Enrollees Were Older and Used More Medication Than Later Enrollees | 2015 | 4 |
| 17 | 2024 | 3 | |
| 18 | 2025 | 3 | |
| 19 | 2018 | 3 | |
| 20 | What is the Rationale for an Insurance Coverage Mandate? Evidence from Workers’ Compensation Insurance | 2019 | 2 |
About Can Cui
Can Cui is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Atomic and Molecular Physics, and Optics, Economics and Econometrics and Biomedical Engineering, having authored 29 papers that have together received 333 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (12 papers), Ferroelectric and Negative Capacitance Devices (8 papers), Neural Networks and Reservoir Computing (8 papers), Magnetic properties of thin films (6 papers), Healthcare Policy and Management (3 papers), Insurance and Financial Risk Management (2 papers), Healthcare Systems and Reforms (2 papers) and Innovative Energy Harvesting Technologies (1 paper). The work is most often cited by research in Atomic and Molecular Physics, and Optics (122 citations), Electrical and Electronic Engineering (196 citations), Artificial Intelligence (86 citations), Condensed Matter Physics (22 citations) and Electronic, Optical and Magnetic Materials (28 citations). Can Cui has collaborated with scholars based in United States, China and Spain. Frequent co-authors include Jean Anne C. Incorvia, Christopher H. Bennett, Matthew Marinella, Joseph S. Friedman, T. Patrick Xiao, Samuel Liu, Felipe García‐Sánchez, Thomas M. Leonard, Xuan Hu and Lin Xue. Their work appears in journals such as Applied Physics Letters, IEEE Transactions on Professional Communication, Nano Letters, Frontiers in Nutrition and Advanced Electronic Materials.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.